Noninteger weights were set, but the model in Zelig is only able to use integer valued weights.
 A bootstrapped version of the dataset was constructed using the weights as sample probabilities.


\begin{table}
\begin{center}
\begin{tabular}{l c c c}
\hline
 & Unweighted Model & List-wise Deleted Model & Weighted Model \\
\hline
(Intercept)                                    & $-0.894^{**}$ & $-0.875^{*}$ & $-1.792^{*}$ \\
                                               & $(0.280)$     & $(0.376)$    & $(0.764)$    \\
ConditionsDisunited                            & $-0.205$      & $0.383$      & $1.705$      \\
                                               & $(0.377)$     & $(0.537)$    & $(0.870)$    \\
ConditionsUnited                               & $-0.573$      & $-0.105$     & $0.916$      \\
                                               & $(0.400)$     & $(0.543)$    & $(0.851)$    \\
ideology\_factorDemocrat                       & $-0.573$      & $-1.235$     & $-0.223$     \\
                                               & $(0.383)$     & $(0.650)$    & $(0.931)$    \\
ideology\_factorRepublican                     & $0.220$       & $0.288$      & $1.386$      \\
                                               & $(0.369)$     & $(0.495)$    & $(0.838)$    \\
ConditionsDisunited:ideology\_factorDemocrat   & $1.197^{*}$   & $1.788^{*}$  & $0.453$      \\
                                               & $(0.509)$     & $(0.831)$    & $(1.088)$    \\
ConditionsUnited:ideology\_factorDemocrat      & $1.009$       & $0.963$      & $0.164$      \\
                                               & $(0.532)$     & $(0.858)$    & $(1.065)$    \\
ConditionsDisunited:ideology\_factorRepublican & $0.382$       & $-0.488$     & $-2.255^{*}$ \\
                                               & $(0.507)$     & $(0.706)$    & $(1.008)$    \\
ConditionsUnited:ideology\_factorRepublican    & $1.110^{*}$   & $0.999$      & $0.131$      \\
                                               & $(0.514)$     & $(0.723)$    & $(0.998)$    \\
\hline
AIC                                            & $899.299$     & $398.769$    & $339.237$    \\
BIC                                            & $940.784$     & $432.656$    & $371.689$    \\
Log Likelihood                                 & $-440.650$    & $-190.385$   & $-160.619$   \\
Deviance                                       & $881.299$     & $380.769$    & $321.237$    \\
Num. obs.                                      & $742$         & $319$        & $272$        \\
\hline
\multicolumn{4}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Statistical models}
\label{table:coefficients}
\end{center}
\end{table}
